Automatic classification of sub-techniques in classical cross-country skiing using a machine learning algorithm on micro-sensor data
The automatic classification of sub-techniques in classical cross-country skiing provides
unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is …
unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is …
Automatic classification of the sub-techniques (gears) used in cross-country ski skating employing a mobile phone
T Stöggl, A Holst, A Jonasson, E Andersson, T Wunsch… - Sensors, 2014 - mdpi.com
The purpose of the current study was to develop and validate an automatic algorithm for
classification of cross-country (XC) ski-skating gears (G) using Smartphone accelerometer …
classification of cross-country (XC) ski-skating gears (G) using Smartphone accelerometer …
A unified deep-learning model for classifying the cross-country skiing techniques using wearable gyroscope sensors
The automatic classification of cross-country (XC) skiing techniques using data from
wearable sensors has the potential to provide insights for optimizing the performance of …
wearable sensors has the potential to provide insights for optimizing the performance of …
Automatic identification of subtechniques in skating-style roller skiing using inertial sensors
Y Sakurai, Z Fujita, Y Ishige - Sensors, 2016 - mdpi.com
This study aims to develop and validate an automated system for identifying skating-style
cross-country subtechniques using inertial sensors. In the first experiment, the performance …
cross-country subtechniques using inertial sensors. In the first experiment, the performance …
Assessment of basic motions and technique identification in classical cross-country skiing
Cross-country skiing is a popular Olympic winter sport, which is also used extensively as a
recreational activity. While cross-country skiing primarily is regarded as a demanding …
recreational activity. While cross-country skiing primarily is regarded as a demanding …
Cross-country skiing gears classification using deep learning
A Rassem, M El-Beltagy, M Saleh - arXiv preprint arXiv:1706.08924, 2017 - arxiv.org
Human Activity Recognition has witnessed a significant progress in the last decade.
Although a great deal of work in this field goes in recognizing normal human activities, few …
Although a great deal of work in this field goes in recognizing normal human activities, few …
A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing
With the aim of monitoring the human activity, wearable devices provide an enhanced
usability and a seamless human experience with respect to other portable devices (eg …
usability and a seamless human experience with respect to other portable devices (eg …
Identifying cross country skiing techniques using power meters in ski poles
M Johansson, M Korneliusson… - Nordic Artificial Intelligence …, 2019 - Springer
Power meters are widely used for measuring training and racing effort in cycling, and the
use of such sensors is now spreading also to other sports. Data collected from athletes' …
use of such sensors is now spreading also to other sports. Data collected from athletes' …
Movement trajectory classification using supervised machine learning
A Teatini - 2019 - diva-portal.org
Allt som rör sig kan detekteras och därmed kan dess bana analyseras. Banan för ett rörligt
objekt kan bära en hel del användbar information beroende på vad som eftersöks. I detta …
objekt kan bära en hel del användbar information beroende på vad som eftersöks. I detta …
Automated detection and classification of movement cycles in cross-country skiing through analysis of inertial sensor data movement patterns
HJ Meland - 2017 - ntnuopen.ntnu.no
Published technique analysis tools for movement patterns in cross-country skiing have
accuracies ranging from 88% up to 98.5%, but reviews of these studies reveals that none …
accuracies ranging from 88% up to 98.5%, but reviews of these studies reveals that none …